Using Three Layer Neural Network to Compute Multi-valued Functions

نویسندگان

  • Nan Jiang
  • Yixian Yang
  • Xiaomin Ma
  • Zhaozhi Zhang
چکیده

A novel global hybrid algorithm for feedforward neural networks p. 9 Study on relationship between NIHSS and TCM-SSASD based on the BP neural network multiple models method p. 17 Application of back-propagation neural network to power transformer insulation diagnosis p. 26 Momentum BP neural networks in structural damage detection based on static displacements and natural frequencies p. 35 Deformation measurement of the large flexible surface by improved RBFNN algorithm and BPNN algorithm p. 41 Evaluation of the growth of real estate financial system based on BP neural network p. 49 GA-based neural network to identification of nonlinear structural systems p. 57 Approximation capability analysis of parallel process neural network with application to aircraft engine health condition monitoring p. 66 Neural network-based position sensorless control for transverse flux linear SRM p. 73 Tourism room occupancy rate prediction based on neural network p. 80 Recurrent neural networks on duty of anomaly detection in databases p. 85 Solving variational inequality problems with linear constraints based on a novel recurrent neural network p. 95 Equalization of 8PSK signals with a recurrent neural network p. 105 Short-term load forecasting using bilinear recurrent neural network p. 111 Convergence of gradient descent algorithm for a recurrent neuron p. 117 Periodicity of recurrent neural networks with reaction-diffusion and dirichlet boundary conditions p. 123 New critical analysis on global convergence of recurrent neural networks with projection mappings p. 131 A study on digital media security by hopfield neural network p. 140 Two theorems on the robust designs for pattern matching CNNs p. 147 Iterative learning control analysis based on hopfield neural networks p. 157 Stochastic stabilization of delayed neural networks p. 164 An evolutionary multi-objective neural network optimizer with bias-based pruning heuristic p. 174 A hybrid of particle swarm optimization and hopfield networks for bipartite subgraph problems p. 184 Convergence of a recurrent neural network for nonconvex optimization based on an augmented lagrangian function p. 194 Multi-objective topology optimization of structures using NN-OC algorithms p. 204 A hybrid particle swarm algorithm for the structure and parameters optimization of feed-forward neural network p. 213 Designing neural networks using PSO-based memetic algorithm p. 219 Simultaneous optimization of ANFIS-based fuzzy model driven to data granulation and parallel genetic algorithms p. 225 A neural network based optimization method for a kind of QPPs and application p. 231 Multilayer perceptron networks training using particle swarm optimization with minimum velocity constraints p. 237

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Predicting the Grouting Ability of Sandy Soils by Artificial Neural Networks Based On Experimental Tests

In this paper, the grouting ability of sandy soils is investigated by artificial neural networks based on the results of chemical grout injection tests. In order to evaluate the soil grouting potential, experimental samples were prepared and then injected. The sand samples with three different particle sizes (medium, fine, and silty) and three relative densities (%30, %50, and %90) were injecte...

متن کامل

New full adders using multi-layer perceptron network

How to reconfigure a logic gate for a variety of functions is an interesting topic. In this paper, a different method of designing logic gates are proposed. Initially, due to the training ability of the multilayer perceptron neural network, it was used to create a new type of logic and full adder gates. In this method, the perceptron network was trained and then tested. This network was 100% ac...

متن کامل

An Automated MR Image Segmentation System Using Multi-layer Perceptron Neural Network

Background: Brain tissue segmentation for delineation of 3D anatomical structures from magnetic resonance (MR) images can be used for neuro-degenerative disorders, characterizing morphological differences between subjects based on volumetric analysis of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF), but only if the obtained segmentation results are correct. Due to image arti...

متن کامل

A vector matrix real time backpropagation algorithm for recurrent neural networks that approximate multi-valued periodic functions

A vector matrix real time backpropagation algorithm for recurrent neural networks that approximate multi-valued periodic functions," Received Unlike feedforward neural networks (FFNN) which can act as universal function ap-proximators, recursive, or recurrent, neural networks can act as universal approximators for multi-valued functions. In this paper, a real time recursive backpropagation (RTR...

متن کامل

Prediction of Cardiovascular Diseases Using an Optimized Artificial Neural Network

Introduction:  It is of utmost importance to predict cardiovascular diseases correctly. Therefore, it is necessary to utilize those models with a minimum error rate and maximum reliability. This study aimed to combine an artificial neural network with the genetic algorithm to assess patients with myocardial infarction and congestive heart failure.   Materials & Methods: This study utilized a m...

متن کامل

Complex - Valued Neural Network in Image Recognition : A Study on the Effectiveness of Radial Basis Function

A complex valued neural network is a neural network, which consists of complex valued input and/or weights and/or thresh olds and/or activation functions. Complex-valued neural networks have been widening the scope of applications not only in electronics and informatics, but also in social systems. One of the most important applications of the complex valued neural network is in image and visio...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007